Computational Intelligence for Data Analysis (Vol.2) is a new book from Bentham Science Publishers. This book is important for several reasons. Future healthcare professionals need to understand how technology can enhance patient care, and this book provides an in-depth understanding of this crucial aspect.
The editors have compiled 15 topics that discuss the applications, opportunities, and future trends of machine intelligence in the medical domain. By reading this book, the reader will be familiarized with core principles, algorithms, protocols, emerging trends, security problems, and the latest concepts in e-healthcare services. Moreover, the book's objective is to demonstrate how these technologies can be used to keep patients safe and healthy and, at the same time, empower physicians to deliver superior care.
Key topics covered in the book include an introduction to the concept of the Internet of Medical Things (IoMT), cloud-edge-based IoMT architecture and performance optimization in the context of Medical Big Data, a comprehensive survey on different IoMT interference mitigation techniques for Wireless Body Area Networks (WBANs), artificial intelligence and the Internet of Medical Things, a review of new machine learning and AI solutions in different medical areas, a deep learning based solution to optimize obstacle recognition for visually impaired patients, a survey of the latest breakthroughs in Brain-Computer Interfaces and their applications, deep learning for brain tumour detection, and blockchain and patient data management.
The editors believe that the information in the book is of immense value for researchers and professionals involved in medicine and associated fields. It is a complete package which presents the applications of IoT, AI, and machine learning in healthcare delivery and medical devices.
This book is a timely update for basic and advanced medical, biomedical engineering, and computer science readers. It is an excellent resource for anyone interested in learning about the latest IoT, AI, and machine learning developments for healthcare delivery and medical devices.
For more information on the book, visit the page here.